Smaws_Client_Transcribe.StartMedicalTranscriptionJobTranscribes the audio from a medical dictation or conversation and applies any additional Request Parameters you choose to include in your request.
In addition to many standard transcription features, Amazon Transcribe Medical provides you with a robust medical vocabulary and, optionally, content identification, which adds flags to personal health information (PHI). To learn more about these features, refer to How Amazon Transcribe Medical works.
To make a StartMedicalTranscriptionJob request, you must first upload your media file into an Amazon S3 bucket; you can then specify the Amazon S3 location of the file using the Media parameter.
You must include the following parameters in your StartMedicalTranscriptionJob request:
region: The Amazon Web Services Region where you are making your request. For a list of Amazon Web Services Regions supported with Amazon Transcribe, refer to Amazon Transcribe endpoints and quotas.MedicalTranscriptionJobName: A custom name you create for your transcription job that is unique within your Amazon Web Services account.Media (MediaFileUri): The Amazon S3 location of your media file.LanguageCode: This must be en-US.OutputBucketName: The Amazon S3 bucket where you want your transcript stored. If you want your output stored in a sub-folder of this bucket, you must also include OutputKey.Specialty: This must be PRIMARYCARE.Type: Choose whether your audio is a conversation or a dictation.val request :
Smaws_Lib.Context.t ->
start_medical_transcription_job_request ->
(start_medical_transcription_job_response,
[> Smaws_Lib.Protocols.AwsJson.error
| `BadRequestException of bad_request_exception
| `ConflictException of conflict_exception
| `InternalFailureException of internal_failure_exception
| `LimitExceededException of limit_exceeded_exception ])
Stdlib.result